47 citations · 70 across the 17 of their papers we have counts for
5 papers · 1 filter
Brain Network Architecture: Implications for Human Learning
Marcelo G. Mattar, Danielle S. Bassett
Human learning is a complex phenomenon that requires adaptive processes across a range of temporal and spacial scales. While our understanding of those processes at single scales h…
The Energy Landscape Underpinning Module Dynamics in the Human Brain Connectome
Arian Ashourvan, Shi Gu, Marcelo G. Mattar +2
Human brain dynamics can be profitably viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing…
The network architecture of value learning
Marcelo G Mattar, Sharon L Thompson-Schill, Danielle S Bassett
Value guides behavior. With knowledge of stimulus values and action consequences, behaviors that maximize expected reward can be selected. Prior work has identified several brain s…
Optimal Trajectories of Brain State Transitions
Shi Gu, Richard F. Betzel, Matthew Cieslak +4
The complexity of neural dynamics stems in part from the complexity of the underlying anatomy. Yet how the organization of white matter architecture constrains how the brain transi…
Structural Pathways Supporting Swift Acquisition of New Visuo-Motor Skills
Ari E. Kahn, Marcelo G. Mattar, Jean M. Vettel +3
Human skill learning requires fine-scale coordination of distributed networks of brain regions that are directly linked to one another by white matter tracts to allow for effective…